CN112533028B - Publishing system for live broadcast advertisement - Google Patents

Publishing system for live broadcast advertisement Download PDF

Info

Publication number
CN112533028B
CN112533028B CN202011432032.0A CN202011432032A CN112533028B CN 112533028 B CN112533028 B CN 112533028B CN 202011432032 A CN202011432032 A CN 202011432032A CN 112533028 B CN112533028 B CN 112533028B
Authority
CN
China
Prior art keywords
news
time
module
value
marking
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202011432032.0A
Other languages
Chinese (zh)
Other versions
CN112533028A (en
Inventor
王玉林
曾章强
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Hangzhou Ciyuandao Technology Co ltd
Original Assignee
Hangzhou Ciyuandao Technology Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Hangzhou Ciyuandao Technology Co ltd filed Critical Hangzhou Ciyuandao Technology Co ltd
Priority to CN202011432032.0A priority Critical patent/CN112533028B/en
Publication of CN112533028A publication Critical patent/CN112533028A/en
Application granted granted Critical
Publication of CN112533028B publication Critical patent/CN112533028B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/20Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/23Processing of content or additional data; Elementary server operations; Server middleware
    • H04N21/235Processing of additional data, e.g. scrambling of additional data or processing content descriptors
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0241Advertisements
    • G06Q30/0277Online advertisement
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/20Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/21Server components or server architectures
    • H04N21/218Source of audio or video content, e.g. local disk arrays
    • H04N21/2187Live feed
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/47End-user applications
    • H04N21/488Data services, e.g. news ticker
    • H04N21/4886Data services, e.g. news ticker for displaying a ticker, e.g. scrolling banner for news, stock exchange, weather data
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/80Generation or processing of content or additional data by content creator independently of the distribution process; Content per se
    • H04N21/81Monomedia components thereof
    • H04N21/812Monomedia components thereof involving advertisement data
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/80Generation or processing of content or additional data by content creator independently of the distribution process; Content per se
    • H04N21/85Assembly of content; Generation of multimedia applications
    • H04N21/858Linking data to content, e.g. by linking an URL to a video object, by creating a hotspot

Abstract

The invention discloses a publishing system for live broadcast advertisements, which relates to the field of network information and comprises a news input module, a news uploading module, a news publishing module, a control center, a data evaluation module, a personnel monitoring module, an evaluation module, a storage module and a display module; the news uploading module is used for gathering, editing and uploading news contents by interviewees, the news contents uploaded by the news uploading module are audited and filtered by the control center, the corresponding news contents are transmitted to the news input module, the evaluation module is used for receiving the evaluation coefficient, the news uploading time and the news releasing time and analyzing the evaluation coefficient, and the releasing satisfaction value is obtained.

Description

Publishing system for live broadcast advertisement
Technical Field
The invention relates to the field of network information, in particular to a publishing system for live broadcast advertisements.
Background
News is a genre of recorded society, broadcast information, and reflecting the era, which is frequently used by newspapers, radio stations, television stations, and the internet. The concept of news is divided into broad and narrow meanings. In its broadest sense, common text, other than reviews and monographs published in newspapers, radio, television, etc., is in the category of news, including messages, communications, features, shorthand (some of which incorporate shorthand into features), etc.; the narrow news is specially used for information, and the information is a brief and concise text in a general narration mode and rapidly reports newly-occurring and valuable facts at home and abroad in time.
The news has the following characteristics of rapidness, timeliness, real content and concise language. Based on the real-time property of news release, the news needs to be sorted, edited and uploaded at the first time of news generation; however, in the process of editing and uploading news contents, the quantity of the news contents is large, the news contents are concentrated, different news are difficult to check and confirm in time, and the information transmission efficiency is low; for news in public areas, different people can collect, edit and upload at different time, which also leads to repeated uploading of the same news; the working condition of the whole issuing system is not evaluated well, and a solution is provided for solving the defects.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a publishing system for live advertisements. According to the invention, the control center is used for auditing and filtering news contents, screening the news contents of the same news, and sending the news contents with the highest credibility value as the selected news contents to the news input module, so that the information transmission efficiency is accelerated, the data processing pressure of the system is relieved, the credibility of the news contents is enhanced, and the repeated uploading of the same news is avoided; meanwhile, the evaluation module is used for evaluating the information release efficiency of the release system by interviewers and returning the evaluation coefficient to the control center, and the evaluation module is used for receiving and analyzing the evaluation coefficient, the news uploading time and the news release time to obtain a release satisfaction value and effectively evaluating the working condition of the whole release system; the control center is used for transmitting the issued satisfaction value to the display module for real-time display, and management personnel can conveniently and visually know the issued satisfaction value.
The purpose of the invention can be realized by the following technical scheme: a release system for live advertisements comprises a news input module, a news uploading module, a news release module, a control center, a data evaluation module, a personnel monitoring module, an evaluation module, a storage module and a display module;
the news input module acquires news content and generates access links, wherein the news content comprises time, place, picture, text description and video of news; the news input module is used for transmitting the access link to the news release module; the news release module is used for releasing the access link of the corresponding news content;
the news uploading module is used for gathering, editing and uploading news contents by interviewees, and the news uploading module transmits the corresponding news contents to the news input module after the uploaded news contents edited by the news uploading module are audited and filtered by the control center;
the method for the control center to audit and filter the news content comprises the following steps:
the method comprises the following steps: media personnel edit and upload news contents to the control center through the news uploading module;
step two: the control center marks the news generation time and the news generation place in the news content uploaded by each media person, marks the news generation time as the declaration time, and marks the news generation place as the declaration place;
step three: marking all news contents with a reporting place and reporting time of one uploaded news content as a center, wherein the reporting place is within a radius r1, and the reporting time difference is within a preset value, then extracting keywords of all the marked news contents in the region, and when the keyword overlap ratio of two uploaded news contents reaches a preset overlap ratio lambda%, considering the two uploaded news contents to be the same news;
step four: marking the declaration place and declaration time of uploaded news contents of the same news, taking the declaration place with the maximum occurrence frequency as a corresponding news occurrence place, and taking the declaration time with the maximum occurrence frequency as corresponding news occurrence time;
step five: and the data evaluation module evaluates the credibility of the uploaded news contents of the same news, selects the news contents with the maximum credibility value as the selected news contents and sends the selected news contents to the news input module.
Furthermore, the method for the data evaluation module to evaluate the credibility of the news content uploaded by the news uploading module comprises the following steps:
s1: acquiring interviewer of news content and marking the interviewer as a target person;
s2: obtaining the entry time of the target personnel according to the entry time of the target personnel and the current system time, and marking the entry time as Rt; marking the number of news contents which are input into the news input module by a target person as Rc;
s3: acquiring the degree of the academic degree of the target person, and marking the degree of the academic degree as Xc; the degree of academic development Xc is divided into a special academic development X1, a subject academic development X2, a master academic development X3 and a doctor academic development X4, and the special academic development X1 is assigned with e, the subject academic development X2 is assigned with f, the master academic development X3 is assigned with g and the doctor academic development X4 is assigned with h, wherein e, f, g and h are fixed numerical values, and e < f < g < h;
s4: using formulas
Figure DEST_PATH_IMAGE001
Calculating to obtain an interview value RD of the target person; b1, b2 and b3 are all preset coefficients, and beta 1 is a compensation factor and takes the value 0.235696;
s5: acquiring an active value of a target person and marking the active value as Hc;
s6: evaluating the richness of news content to obtain a richness value, and specifically comprising the following steps of:
s61: the number of pictures in news content is marked as Ps, the file size of the pictures is marked as Pd, the number of videos is marked as Vs, the file size of the videos is marked as Vd, and the text size of the text description is marked as Ws; when Ps is larger than 1, the file size of the picture is the sum of the file sizes of all the pictures; when Vs is larger than 1, the file size of the video is the sum of the file sizes of the videos;
obtaining the file size XW of the news by using a formula XW = Pd + Vd + Ws;
s62: carrying out weight distribution on the number of pictures and the file size of the pictures, marking the weight of the number of the pictures as Z1, and marking the weight of the file size of the pictures as Z2;
obtaining a picture abundance value PA of the obtained picture by using a formula PA = Ps multiplied by Z1+ Pd multiplied by Z2, wherein Z1 and Z2 are fixed numerical values, and Z1 is more than Z2;
s63: carrying out weight distribution on the number of videos and the file size of the videos, wherein the weight of the number of videos is marked as Z13, and the weight of the file size of the videos is marked as Z4;
obtaining a video Feng value VA by using a formula VA = Vs xZ 3+ Vd xZ 4, wherein Z3 and Z4 are fixed values, and Z3 is greater than Z4;
s64: dividing the image abundance value PA by Ws to obtain an image-text ratio PW, wherein PW = PA/Ws; dividing the apparent abundance value VA by Ws to obtain an apparent text ratio VW, wherein VW = VA/Ws;
s65: calculating a richness value FW of the news by using the file size XW, the image-text ratio PW and the image-text ratio VW of the news, wherein the specific calculation formula is as follows:
Figure 33677DEST_PATH_IMAGE002
wherein, A1, A2 and A3 are coefficient factors, alpha and mu are preset values, when XW is larger, the image-text ratio PW is closer to alpha, and the image-text ratio VW is closer to mu, the richness value FW is larger;
s7: calculating a credibility value KX of the news by using the interview value RD, the activity value Hc and the richness value FW, wherein the specific calculation formula is as follows:
KX=RD×C1+Hc×C2+FW×C3
wherein C1, C2 and C3 are preset proportionality coefficients.
Further, the staff monitoring module is used for monitoring click information of an access link issued by an interviewer on the news issuing module and analyzing the click information to obtain an active value of the interviewer, wherein the click information comprises click times, watching time of each click and behavior characteristics of comment, forwarding, collection and praise; the specific analysis steps are as follows:
SS 1: acquiring all access links released by interviewers on a news releasing module in a preset time period;
SS 2: accumulating the click times of all the access links to form total click times, and marking the total click times as CS;
accumulating the viewing time of each click of all the access links to form total click time, and marking the total click time as DS;
SS 3: accumulating the commented times of all the access links to form a total commenting time, and marking the total commenting time as PS; accumulating the forwarded times of all the access links to form a total forwarding time, and marking the total forwarding time as ZS; accumulating the collected times of all the access links to form a total collection time, and marking the total collection time as ES; accumulating the praise times of all the access links to form a praise total time, and marking the praise total time as GS;
SS 4: using formulas
Figure 431161DEST_PATH_IMAGE003
And calculating the activity value SR of the interviewer, wherein D1, D2, D3, r1, r2, r3 and r4 are all coefficient factors.
Further, the evaluation module is used for evaluating the information release efficiency of the release system by the interviewer and returning an evaluation coefficient to the control center, and the evaluation coefficient rule is as follows: grading the issuing system, wherein the full score is 100;
the control center generates an uploading signal when receiving the news content uploaded by the news uploading module, and marks the time when the control center receives the news content uploaded by the news uploading module as the news uploading time; the control center generates a release signal when the news release module releases the access link of the corresponding news content, and marks the moment when the news release module releases the access link of the corresponding news content as the news release moment; the control center is used for transmitting the news uploading time and the news releasing time to the evaluation module;
the evaluation module is used for receiving and analyzing the evaluation coefficient, the news uploading time and the news releasing time to obtain a releasing satisfaction value, and the specific steps are as follows:
FF 1: acquiring an evaluation coefficient of an interviewer in a preset time period, and marking the evaluation coefficient as Qi;
FF 2: summing the evaluation coefficients Qi and averaging to obtain an evaluation average value Qs;
FF 3: calculating the time difference between the news release time and the news uploading time to obtain the single processing duration;
FF 4: summing all the single processing durations and averaging to obtain an average processing duration, and marking the average processing duration as Gs;
FF 5: using formulas
Figure DEST_PATH_IMAGE004
Obtaining an issued satisfactory value RQ, wherein f1 and f1 are preset coefficient factors, and eta is a fixed value;
the evaluation module is used for transmitting the release satisfaction value RQ to the control center, the control center is used for stamping a time stamp on the release satisfaction value RQ and storing the time stamp in the storage module, and the control center is used for transmitting the release satisfaction value RQ to the display module to be displayed in real time.
The invention has the beneficial effects that:
1. the method comprises the steps that the control center is used for auditing and filtering news contents edited and uploaded by a news uploading module; calibrating the news generation time and place in the news content uploaded by each media person; marking all news contents with a reporting place and reporting time of one uploaded news content as a center, wherein the reporting place is within a radius r1, and the reporting time difference is within a preset value, then extracting keywords of all the marked news contents in the region, and when the keyword overlap ratio of two uploaded news contents reaches a preset overlap ratio lambda%, considering the two uploaded news contents to be the same news; the data evaluation module evaluates the credibility of the uploaded news content of the same news, selects the news content with the maximum credibility value as the selected news content and sends the selected news content to the news input module, and the news content of the same news is repeatedly uploaded due to the fact that different people can acquire, edit and upload the news content of the same news at different time for the news generated in a public area, so that the complexity of the system in processing information is improved, the news content of the same news is screened by the control center, the news content with the maximum credibility value is sent to the news input module as the selected news content, the information transmission efficiency is improved, the data processing pressure of the system is relieved, and the credibility of the news content is enhanced;
2. the method comprises the steps that a data evaluation module is used for evaluating the credibility of uploaded news contents of the same news, an interview value RD, an active value Hc and an abundance value FW are used for performing objective comprehensive reflection, the credibility value KX of the news is calculated, the obtained result is more accurate, the evaluation module is used for evaluating the information release efficiency of a release system by interviewers and returning an evaluation coefficient to a control center, and the evaluation module is used for receiving and analyzing the evaluation coefficient, the news uploading time and the news release time to obtain a release satisfaction value and effectively evaluating the working condition of the whole release system; the control center is used for transmitting the issued satisfaction value RQ to the display module for real-time display, and management personnel can conveniently and visually know the issued satisfaction value RQ.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
FIG. 1 is a block diagram of the system of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, a distribution system for live broadcast advertisement includes a news entry module, a news upload module, a news distribution module, a control center, a data evaluation module, a personnel monitoring module, an evaluation module, a storage module, and a display module;
the news input module acquires news content and generates an access link, specifically, the news input module acquires the news content uploaded by interviewers, and the news input module stores the news content and generates the access link of the news content, wherein the news content comprises time, place, picture, text description and video of news generation; the news input module is used for transmitting the access link to the news release module; the news release module is used for releasing access links of corresponding news contents;
the news uploading module is used for gathering, editing and uploading news contents by interviewees, and the news uploading module transmits the corresponding news contents to the news input module after the uploaded news contents edited by the news uploading module are audited and filtered by the control center;
the method for the control center to audit and filter the news content comprises the following steps:
the method comprises the following steps: media personnel edit and upload news contents to the control center through the news uploading module;
step two: the control center marks the news generation time and the news generation place in the news content uploaded by each media person, marks the news generation time as the declaration time, and marks the news generation place as the declaration place;
step three: marking all news contents with a reporting place and reporting time of one uploaded news content as a center, wherein the reporting place is within a radius r1, and the reporting time difference is within a preset value, then extracting keywords of all the marked news contents in the region, and when the keyword overlap ratio of two uploaded news contents reaches a preset overlap ratio lambda%, considering the two uploaded news contents to be the same news;
step four: marking the declaration place and declaration time of uploaded news contents of the same news, taking the declaration place with the maximum occurrence frequency as a corresponding news occurrence place, and taking the declaration time with the maximum occurrence frequency as corresponding news occurrence time;
step five: the data evaluation module evaluates the credibility of the uploaded news contents of the same news, selects the news contents with the maximum credibility value as selected news contents and sends the selected news contents to the news input module;
the news generated in the public area can be collected, edited and uploaded by different people at different time, so that the same news can be repeatedly uploaded, the complexity of the system for processing information is improved, the news content of the same news is screened by the control center, the news content with the maximum credibility value is taken as the selected news content and sent to the news input module, the information transmission efficiency is accelerated, the data processing pressure of the system is relieved, and the credibility of the news content is enhanced;
the method for the data evaluation module to evaluate the credibility of the news contents uploaded by the news uploading module comprises the following steps:
s1: acquiring interviewer of news content and marking the interviewer as a target person;
s2: obtaining the entry time of the target personnel according to the entry time of the target personnel and the current system time, and marking the entry time as Rt; marking the number of news contents which are input into the news input module by a target person as Rc;
s3: acquiring the degree of the academic degree of the target person, and marking the degree of the academic degree as Xc; the degree of academic record Xc is divided into a special academic record X1, a subject academic record X2, a master academic record X3 and a doctor academic record X4, and the special academic record X1 is assigned with e, the subject academic record X2 is assigned with f, the master academic record X3 is assigned with g and the doctor academic record X4 is assigned with h, wherein e, f, g and h are fixed numerical values, and e < f < g < h;
s4: using formulas
Figure 35448DEST_PATH_IMAGE005
Calculating to obtain an interview value RD of the target person; b1, b2 and b3 are all preset coefficients, and beta 1 is a compensation factor and takes the value 0.235696;
s5: acquiring an active value of a target person and marking the active value as Hc;
s6: evaluating the richness of news content to obtain a richness value, and specifically comprising the following steps of:
s61: the number of pictures in news content is marked as Ps, the file size of the pictures is marked as Pd, the number of videos is marked as Vs, the file size of the videos is marked as Vd, and the text size of the text description is marked as Ws; when Ps is larger than 1, the file size of the picture is the sum of the file sizes of all the pictures; when Vs is larger than 1, the file size of the video is the sum of the file sizes of the videos;
obtaining the file size XW of the news by using a formula XW = Pd + Vd + Ws;
s62: carrying out weight distribution on the number of pictures and the file size of the pictures, marking the weight of the number of the pictures as Z1, and marking the weight of the file size of the pictures as Z2;
obtaining a picture abundance value PA of the obtained picture by using a formula PA = Ps multiplied by Z1+ Pd multiplied by Z2, wherein Z1 and Z2 are fixed numerical values, and Z1 is more than Z2;
s63: carrying out weight distribution on the number of videos and the file size of the videos, wherein the weight of the number of videos is marked as Z13, and the weight of the file size of the videos is marked as Z4;
obtaining a video Feng value VA by using a formula VA = Vs xZ 3+ Vd xZ 4, wherein Z3 and Z4 are fixed values, and Z3 is greater than Z4;
s64: dividing the image abundance value PA by Ws to obtain an image-text ratio PW, wherein PW = PA/Ws; dividing the apparent abundance value VA by Ws to obtain an apparent text ratio VW, wherein VW = VA/Ws;
s65: calculating a richness value FW of the news by using the file size XW, the image-text ratio PW and the image-text ratio VW of the news, wherein the specific calculation formula is as follows:
Figure 425847DEST_PATH_IMAGE002
wherein, A1, A2 and A3 are coefficient factors, alpha and mu are preset values, when XW is larger, the image-text ratio PW is closer to alpha, and the image-text ratio VW is closer to mu, the richness value FW is larger;
s7: calculating a credibility value KX of the news by using the interview value RD, the activity value Hc and the richness value FW, wherein the specific calculation formula is as follows:
KX=RD×C1+Hc×C2+FW×C3
wherein C1, C2 and C3 are preset proportionality coefficients;
the personnel monitoring module is used for monitoring click information of an access link issued by an interviewer on the news issuing module and analyzing the click information to obtain an active value of the interviewer, wherein the click information comprises click times, watching time of each click and behavior characteristics of comment, forwarding, collection and praise; the specific analysis steps are as follows:
SS 1: acquiring all access links released by interviewers on a news releasing module in a preset time period;
SS 2: accumulating the click times of all the access links to form total click times, and marking the total click times as CS;
accumulating the viewing time of each click of all the access links to form total click time, and marking the total click time as DS;
SS 3: accumulating the commented times of all the access links to form a total commenting time, and marking the total commenting time as PS; accumulating the forwarded times of all the access links to form a total forwarding time, and marking the total forwarding time as ZS; accumulating the collected times of all the access links to form a total collection time, and marking the total collection time as ES; accumulating the praise times of all the access links to form a praise total time, and marking the praise total time as GS;
SS 4: using formulas
Figure 986142DEST_PATH_IMAGE006
Calculating an activity value SR of the interviewer, wherein D1, D2, D3, r1, r2, r3 and r4 are coefficient factors;
the evaluation module is used for evaluating the information release efficiency of the release system by interviewer and returning an evaluation coefficient to the control center, and the evaluation coefficient rule is as follows: grading the issuing system, wherein the full score is 100;
the control center generates an uploading signal when receiving the news content uploaded by the news uploading module, and marks the time when the control center receives the news content uploaded by the news uploading module as the news uploading time; the control center generates a release signal when the news release module releases the access link of the corresponding news content, and marks the moment when the news release module releases the access link of the corresponding news content as the news release moment; the control center is used for transmitting the news uploading time and the news releasing time to the evaluation module;
the evaluation module is used for receiving and analyzing the evaluation coefficient, the news uploading time and the news releasing time to obtain a releasing satisfaction value, and the specific steps are as follows:
FF 1: acquiring an evaluation coefficient of an interviewer in a preset time period, and marking the evaluation coefficient as Qi;
FF 2: summing the evaluation coefficients Qi and averaging to obtain an evaluation average value Qs;
FF 3: calculating the time difference between the news release time and the news uploading time to obtain the single processing duration;
FF 4: summing all the single processing durations and averaging to obtain an average processing duration, and marking the average processing duration as Gs;
FF 5: using formulas
Figure 570838DEST_PATH_IMAGE004
Obtaining an issued satisfactory value RQ, wherein f1 and f1 are preset coefficient factors, and eta is a fixed value;
the evaluation module is used for transmitting the release satisfaction value RQ to the control center, the control center is used for stamping a time stamp on the release satisfaction value RQ and storing the time stamp on the release satisfaction value RQ to the storage module, and the control center is used for transmitting the release satisfaction value RQ to the display module to be displayed in real time, so that managers can conveniently and visually know the release satisfaction value RQ.
A release system for live broadcast advertisement, while working, news upload module use for interviewer gather, edit upload news content, news upload module edit upload news content that control center examine and check and filter; the control center marks the news generation time and the news generation place in the news content uploaded by each media person, marks the news generation time as the declaration time, and marks the news generation place as the declaration place; marking all news contents with a reporting place and reporting time of one uploaded news content as a center, wherein the reporting place is within a radius r1, and the reporting time difference is within a preset value, then extracting keywords of all the marked news contents in the region, and when the keyword overlap ratio of two uploaded news contents reaches a preset overlap ratio lambda%, considering the two uploaded news contents to be the same news; marking the declaration place and declaration time of uploaded news contents of the same news, taking the declaration place with the maximum occurrence frequency as a corresponding news occurrence place, and taking the declaration time with the maximum occurrence frequency as corresponding news occurrence time; the data evaluation module evaluates the credibility of the uploaded news contents of the same news, selects the news contents with the highest credibility value as selected news contents and sends the selected news contents to the news input module, the news input module acquires the news contents and generates access links, and the news release module is used for releasing the access links corresponding to the news contents; the news generated in the public area can be collected, edited and uploaded by different people at different time, so that the same news can be repeatedly uploaded, the complexity of the system for processing information is improved, the news content of the same news is screened by the control center, the news content with the maximum credibility value is taken as the selected news content and sent to the news input module, the information transmission efficiency is accelerated, the data processing pressure of the system is relieved, and the credibility of the news content is enhanced;
the data evaluation module evaluates the credibility of the uploaded news content of the same news, objectively and comprehensively reflects the interview value RD, the activity value Hc and the richness value FW, calculates the credibility value KX of the news, enables the obtained result to be more accurate, is used for evaluating the information release efficiency of the release system by interviewers and returning the evaluation coefficient to the control center, and is used for receiving and analyzing the evaluation coefficient, the news uploading time and the news release time to obtain a release satisfaction value and effectively evaluate the working condition of the whole release system; the control center is used for transmitting the issued satisfaction value RQ to the display module for real-time display, and management personnel can conveniently and visually know the issued satisfaction value RQ.
The above formulas are all obtained by collecting a large amount of data to perform software simulation and performing parameter setting processing by corresponding experts, and the formulas are in accordance with real results.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims (1)

1. A release system for live advertisements is characterized by comprising a news input module, a news uploading module, a news release module, a control center, a data evaluation module, a personnel monitoring module, an evaluation module, a storage module and a display module;
the news input module acquires news content and generates an access link, wherein the news content comprises time, place, picture, text description and video of news; the news input module is used for transmitting the access link to the news release module; the news release module is used for releasing access links of corresponding news contents;
the news uploading module is used for gathering, editing and uploading news contents by interviewees, and the news uploading module transmits the corresponding news contents to the news input module after the uploaded news contents edited by the news uploading module are audited and filtered by the control center;
the method for the control center to audit and filter the news content comprises the following steps:
the method comprises the following steps: media personnel edit and upload news contents to the control center through the news uploading module;
step two: the control center marks the news generation time and the news generation place in the news content uploaded by each media person, marks the news generation time as the declaration time, and marks the news generation place as the declaration place;
step three: marking all news contents with a reporting place and reporting time of one uploaded news content as a center, wherein the reporting place is within a radius r1, and the reporting time difference is within a preset value, then extracting keywords of all the marked news contents in the region, and when the keyword overlap ratio of two uploaded news contents reaches a preset overlap ratio lambda%, considering the two uploaded news contents to be the same news;
step four: marking the declaration place and declaration time of uploaded news contents of the same news, taking the declaration place with the maximum occurrence frequency as a corresponding news occurrence place, and taking the declaration time with the maximum occurrence frequency as corresponding news occurrence time;
step five: the data evaluation module evaluates the credibility of the uploaded news contents of the same news, selects the news contents with the maximum credibility value as selected news contents and sends the selected news contents to the news input module;
the specific evaluation steps of the data evaluation module are as follows:
s1: acquiring interviewer of news content and marking the interviewer as a target person;
s2: obtaining the entry time of the target personnel according to the entry time of the target personnel and the current system time, and marking the entry time as Rt; marking the number of news contents which are input into the news input module by a target person as Rc;
s3: acquiring the degree of the academic degree of the target person, and marking the degree of the academic degree as Xc; the degree of academic record Xc is divided into a special academic record X1, a subject academic record X2, a master academic record X3 and a doctor academic record X4, and the special academic record X1 is assigned with e, the subject academic record X2 is assigned with f, the master academic record X3 is assigned with g and the doctor academic record X4 is assigned with h, wherein e, f, g and h are fixed numerical values, and e < f < g < h;
s4: using formulas
Figure FDA0003508255280000021
Calculating to obtain an interview value RD of the target person; b1, b2 and b3 are all preset coefficients, and beta 1 is a compensation factor and takes the value 0.235696;
s5: acquiring an active value of a target person and marking the active value as Hc;
s6: evaluating the richness of news content to obtain a richness value, and specifically comprising the following steps of:
s61: the number of pictures in news content is marked as Ps, the file size of the pictures is marked as Pd, the number of videos is marked as Vs, the file size of the videos is marked as Vd, and the text size of the text description is marked as Ws; when Ps is larger than 1, the file size of the picture is the sum of the file sizes of all the pictures; when Vs is larger than 1, the file size of the video is the sum of the file sizes of the videos;
obtaining the file size XW of the news by using a formula XW which is Pd + Vd + Ws;
s62: carrying out weight distribution on the number of pictures and the file size of the pictures, marking the weight of the number of the pictures as Z1, and marking the weight of the file size of the pictures as Z2; obtaining a picture abundance value PA of the obtained picture by using a formula PA of Ps multiplied by Z1+ Pd multiplied by Z2, wherein Z1 and Z2 are fixed numerical values, and Z1 is more than Z2;
s63: carrying out weight distribution on the number of videos and the file size of the videos, wherein the weight of the number of videos is marked as Z13, and the weight of the file size of the videos is marked as Z4; obtaining a video Feng value VA of the obtained video by using a formula of VA (Vs × Z3+ Vd × Z4), wherein Z3 and Z4 are fixed values, and Z3 is greater than Z4;
s64: dividing the image abundance value PA by Ws to obtain an image-text ratio PW, wherein PW is PA/Ws; dividing the apparent abundance value VA by Ws to obtain an apparent character ratio VW, wherein VW is VA/Ws;
s65: calculating a richness value FW of the news by using the file size XW, the image-text ratio PW and the image-text ratio VW of the news, specifically:
Figure FDA0003508255280000031
wherein A1, A2 and A3 are coefficient factors, and alpha and mu are preset values;
s7: calculating a credibility value KX of the news by using the interview value RD, the activity value Hc and the richness value FW, wherein the specific calculation formula is as follows: KX ═ RD × C1+ Hc × C2+ FW × C3; wherein C1, C2 and C3 are preset proportionality coefficients;
the personnel monitoring module is used for monitoring click information of an access link issued by an interviewer on the news issuing module and analyzing the click information to obtain an active value of the interviewer, wherein the click information comprises click times, watching time of each click and behavior characteristics of comment, forwarding, collection and praise; the specific analysis steps are as follows:
SS 1: acquiring all access links released by interviewers on a news releasing module in a preset time period;
SS 2: accumulating the click times of all the access links to form total click times, and marking the total click times as CS; accumulating the viewing time of each click of all the access links to form total click time, and marking the total click time as DS;
SS 3: accumulating the commented times of all the access links to form a total commenting time, and marking the total commenting time as PS; accumulating the forwarded times of all the access links to form a total forwarding time, and marking the total forwarding time as ZS; accumulating the collected times of all the access links to form a total collection time, and marking the total collection time as ES; accumulating the praise times of all the access links to form a praise total time, and marking the praise total time as GS;
SS 4: using formulas
Figure FDA0003508255280000041
Calculating an activity value SR of the interviewer, wherein D1, D2, D3, r1, r2, r3 and r4 are coefficient factors;
the evaluation module is used for evaluating the information release efficiency of the release system by interviewer and returning an evaluation coefficient to the control center, and the evaluation coefficient rule is as follows: grading the issuing system, wherein the full score is 100;
the control center generates an uploading signal when receiving the news content uploaded by the news uploading module, and marks the time when the control center receives the news content uploaded by the news uploading module as the news uploading time; the control center generates a release signal when the news release module releases the access link of the corresponding news content, and marks the moment when the news release module releases the access link of the corresponding news content as the news release moment; the control center is used for transmitting the news uploading time and the news releasing time to the evaluation module;
the evaluation module is used for receiving and analyzing the evaluation coefficient, the news uploading time and the news releasing time to obtain a releasing satisfaction value, and the specific steps are as follows:
FF 1: acquiring an evaluation coefficient of an interviewer in a preset time period, and marking the evaluation coefficient as Qi;
FF 2: summing the evaluation coefficients Qi and averaging to obtain an evaluation average value Qs;
FF 3: calculating the time difference between the news release time and the news uploading time to obtain the single processing duration;
FF 4: summing all the single processing durations and averaging to obtain an average processing duration, and marking the average processing duration as Gs;
FF 5: using formulas
Figure FDA0003508255280000051
Obtaining an issued satisfactory value RQ, wherein f1 and f1 are preset coefficient factors, and eta is a fixed value;
the evaluation module is used for transmitting the release satisfaction value RQ to the control center, the control center is used for stamping a time stamp on the release satisfaction value RQ and storing the time stamp in the storage module, and the control center is used for transmitting the release satisfaction value RQ to the display module to be displayed in real time.
CN202011432032.0A 2020-12-10 2020-12-10 Publishing system for live broadcast advertisement Active CN112533028B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202011432032.0A CN112533028B (en) 2020-12-10 2020-12-10 Publishing system for live broadcast advertisement

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202011432032.0A CN112533028B (en) 2020-12-10 2020-12-10 Publishing system for live broadcast advertisement

Publications (2)

Publication Number Publication Date
CN112533028A CN112533028A (en) 2021-03-19
CN112533028B true CN112533028B (en) 2022-04-08

Family

ID=74999783

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202011432032.0A Active CN112533028B (en) 2020-12-10 2020-12-10 Publishing system for live broadcast advertisement

Country Status (1)

Country Link
CN (1) CN112533028B (en)

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102567820A (en) * 2010-12-08 2012-07-11 上海杉达学院 Dynamic news release and management system
CN108280127A (en) * 2017-12-15 2018-07-13 广州艾媒数聚信息咨询股份有限公司 A kind of similar news duplicate checking of magnanimity selects method, system and device
CN109635218A (en) * 2018-12-03 2019-04-16 四川理工学院 News briefing and management system
CN110413863A (en) * 2019-08-01 2019-11-05 信雅达系统工程股份有限公司 A kind of public sentiment news duplicate removal and method for pushing based on deep learning
CN111444685A (en) * 2020-03-26 2020-07-24 重庆商报社 News production system and method based on big data and artificial intelligence

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103345512A (en) * 2013-07-06 2013-10-09 北京品友互动信息技术有限公司 Online advertising click-through rate forecasting method and device based on user attribute
US10997257B2 (en) * 2015-02-06 2021-05-04 Facebook, Inc. Aggregating news events on online social networks

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102567820A (en) * 2010-12-08 2012-07-11 上海杉达学院 Dynamic news release and management system
CN108280127A (en) * 2017-12-15 2018-07-13 广州艾媒数聚信息咨询股份有限公司 A kind of similar news duplicate checking of magnanimity selects method, system and device
CN109635218A (en) * 2018-12-03 2019-04-16 四川理工学院 News briefing and management system
CN110413863A (en) * 2019-08-01 2019-11-05 信雅达系统工程股份有限公司 A kind of public sentiment news duplicate removal and method for pushing based on deep learning
CN111444685A (en) * 2020-03-26 2020-07-24 重庆商报社 News production system and method based on big data and artificial intelligence

Also Published As

Publication number Publication date
CN112533028A (en) 2021-03-19

Similar Documents

Publication Publication Date Title
DE60035339T2 (en) CONNECTING AND REPORTING MONITORING DATA FROM REMOTE NETWORK STATIONS
DE19983761B9 (en) Apparatus and method for collecting and analyzing communication data
MXPA05010525A (en) Strategies for generating media consumption statistics.
CN112163909B (en) Advertisement delivery system based on big data
DE212010000052U1 (en) Content syndication in web-based media via display highlighting
US10282746B2 (en) Marketing campaign management system
CN108763547A (en) A kind of airborne dust on-line monitoring system
CN102056351B (en) Push service system and method
CN103945219A (en) Network side video quality monitoring system
CN107690068B (en) Method and device for analyzing video flow and quality convergence of embedded probe of set top box
CN108509309A (en) A kind of system and method carrying out performance monitoring based on access log
CN116633816A (en) Media display terminal safety supervision early warning system based on enterprise digitization
CN106992974A (en) A kind of live video information monitoring method, device and equipment
DE112016004956T5 (en) Resource Consumption Monitoring System, Platform and Module
CN101207524A (en) Method and system for supervising broadcast of web advertisement
CN109636252A (en) Floating population&#39;s big data multidimensional analysis method and system
CN110264164A (en) Promotion of item method and system based on visualization inspection
US8036932B2 (en) Method and system for valuing advertising content
CN103426050B (en) System is supported in business problem analysis
CN112533028B (en) Publishing system for live broadcast advertisement
CN107222351A (en) A kind of analysis method of the network equipment quality of data
CN116149947A (en) Quality evaluation method and device for data model, electronic equipment and storage medium
CN115204703A (en) Multisource fusion community service system based on 5G
CN112291625B (en) Information quality processing method, information quality processing device, electronic equipment and storage medium
CN115186025A (en) Automatic configuration method, system and equipment of visual report

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant